Optimization of Anti-Drone Defense: Analyzing Non-Kinetic Gun Selection Using DIBR II-Grey MARCOS Methodology

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F24%3A39922544" target="_blank" >RIV/00216275:25510/24:39922544 - isvavai.cz</a>

Result on the web

<a href="https://library.acadlore.com/JEMSE/2024/3/3/JEMSE_03.03_02.pdf" target="_blank" >https://library.acadlore.com/JEMSE/2024/3/3/JEMSE_03.03_02.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.56578/jemse030302" target="_blank" >10.56578/jemse030302</a>

Result language

angličtina

Original language name

Optimization of Anti-Drone Defense: Analyzing Non-Kinetic Gun Selection Using DIBR II-Grey MARCOS Methodology

Original language description

The selection of appropriate anti-drone systems is critical for enhancing a military&apos;s defensive capabilities. With a range of non-kinetic anti-drone guns available, it is essential to identify the optimal system that meets specific military requirements. This study presents a comprehensive approach, combining Multiple Criteria Decision Making (MCDM) techniques to facilitate this selection process. The Defining Interrelationships Between Ranked Criteria II (DIBR II) method has been employed to determine and calculate the criteria weighting coefficients, while the Grey Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS) method, modified to utilize interval grey numbers, has been applied to rank the alternatives. The criteria weighting coefficients, defined by expert input, are aggregated using the Bonferroni mean. The proposed DIBR II-Grey MARCOS model is then subjected to a sensitivity analysis, which further validates the robustness of the selection process. A comparative analysis of results, based on the applied MCDM methods, underscores the efficacy of the proposed model. The findings demonstrate that this integrated model not only provides a reliable framework for selecting anti-drone guns but also offers a versatile tool for resolving other MCDM challenges across various domains. The study highlights the potential of this model for broader application in diverse operational environments, where complex decision-making is required. The combination of MCDM techniques and sensitivity analysis offers valuable insights into optimizing resource allocation, thereby enhancing strategic decision-making processes. The proposed model&apos;s adaptability and effectiveness suggest its significant potential for adoption beyond the military sector.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

21100 - Other engineering and technologies

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Engineering Management and Systems Engineering (JEMSE)

ISSN

2958-3519

e-ISSN

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Volume of the periodical

3

Issue of the periodical within the volume

3

Country of publishing house

CN - CHINA

Number of pages

16

Pages from-to

132-148

UT code for WoS article

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EID of the result in the Scopus database

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